Better environmental decisions amid strategic and evolutionary feedbacks. This project’s main aim is to revolutionize conservation policymaking. By understanding eco-evolutionary feedbacks and strateg

Description

Better environmental decisions amid strategic and evolutionary feedbacks. This project’s main aim is to revolutionize conservation policymaking. By understanding eco-evolutionary feedbacks and strategic interactions among multiple stakeholders, results from this research will uncover strategies to effectively pursue biodiversity conservation. The ultimate goal of this DECRA is to understand how to anticipate and respond to complex evolving system dynamics, identify efficient mitigation strategies, and inform the multi-layered management of invasive species in Queensland. The resulting unified mathematical framework will help to identify key indicators in the system's behaviour, construct decision-support tools, and offer insights on the structure of viable actions available to the policymaker.. Scheme: Discovery Early Career Researcher Award. Field: 4901 - Applied Mathematics. Lead: Dr Maria Kleshnina